Looker vs Segment: What are the differences?
Looker: Pioneering the next generation of BI, data discovery & data analytics. We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way; Segment: A single hub to collect, translate and send your data with the flip of a switch. Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.
Looker can be classified as a tool in the "Business Intelligence" category, while Segment is grouped under "Analytics Integrator".
Some of the features offered by Looker are:
- Zero-lag access to data
- No limits
- Personalized setup and support
On the other hand, Segment provides the following key features:
- A single API to integrate third-party tools
- Data replay that backfills new tools with historical data
- SQL support to automatically transform and load behavioral data into Amazon Redshift
"Real time in app customer chat support" is the top reason why over 2 developers like Looker, while over 85 developers mention "Easy to scale and maintain 3rd party services" as the leading cause for choosing Segment.
According to the StackShare community, Segment has a broader approval, being mentioned in 827 company stacks & 77 developers stacks; compared to Looker, which is listed in 68 company stacks and 6 developer stacks.
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